This community of practice elevates participants’ comprehension of performance measurement and metrics within the realm of business. Here, academic luminaries and industry experts converge to scrutinize the latest methodologies, tools, and best practices in quantifying success and driving strategic decision-making. Participants immerse themselves in the realms of experimentation, data analytics, and benchmarking to unearth profound insights that catalyze enhanced organizational and financial performance. Together, they explore how to advance and harness the formidable power of data-driven decision-making, elevating businesses to new echelons of excellence.
In an era of increasing environmental concerns, the corporate march toward a low-carbon economy presents both challenges and a wealth of opportunities. In a recent article, “Ten Questions for a Winning Climate-Transition Business Strategy“, HBS Professor and faculty PI in D^3’s Climate and Sustainability Impact Lab, George Serafeim, describes research emphasizing the need for executives […]
In the rapidly advancing world of data-driven decision-making, algorithms hold tremendous promise for organizations, but their effectiveness depends on how they are applied. A recent study, “Decision Authority and the Returns to Algorithms,” by Hyunjin Kim, professor at INSEAD Business School, Edward L. Glaeser, professor at Harvard University, Andrew Hillis, head of data science and […]
Labor relations are a critical factor in determining operational success, particularly in industries that depend on large-scale manufacturing. In the fictionalized case study “Navigating Labor Unrest” by Jorge Tamayo, Assistant Professor at Harvard Business School and Investigator at D^3’s Digital Reskilling Lab, Paulo Ferreira, president of Luna Motors’ Campinas plant, confronts a daunting labor-management conflict. […]
In a rapidly evolving business landscape, decision-makers must be agile. In a recent paper, Biyonka Liang, PhD candidate in Statistics at Harvard University, and Iavor Bojinov, Assistant Professor of Business Administration at HBS and PI at D^3’s Data Science and AI Operations Lab, discuss their development of the Mixture Adaptive Design (MAD) to allow industry […]
